The goal of this notebook is to train a model that can predict inflation-adjusted salary based on average stats (as outputted by the 3-feature-engineering notebook).
import json
import pandas as pd
pd.set_option('display.max_columns', None)
df = pd.read_csv('../data/preprocessed/stats_salaries_final.csv')
df
| PLAYER_ID | SEASON_START | TEAM_NAME_0 | TEAM_NAME_1 | TEAM_NAME_2 | TEAM_NAME_3 | TEAM_NAME_4 | SALARY | INFLATION_ADJ_SALARY | TEAM_PAYROLL | INFLATION_ADJ_TEAM_PAYROLL | LEAGUE_PAYROLL | INFLATION_ADJ_LEAGUE_PAYROLL | TEAM_IMPORTANCE | LEAGUE_IMPORTANCE | TEAM_MARKET_SIZE | FGM | FGA | FG3M | FG3A | FTM | FTA | OREB | DREB | REB | AST | STL | BLK | TO | PF | PTS | PLUS_MINUS | WON_GAME | SECS_PLAYED | C | F | G | FG_PCT | FG3_PCT | FT_PCT | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 15 | 2004 | 0 | 0 | 0 | 0 | 1 | 2750000.0 | 3938661 | 57276129 | 82033174 | 1773666037 | 2540315861 | 0.048013 | 0.001550 | 0.032293 | 1.440000 | 3.840000 | 0.860000 | 2.440000 | 0.280000 | 0.320000 | 0.200000 | 1.280000 | 1.480000 | 0.520000 | 0.320000 | 0.100000 | 0.580000 | 0.860000 | 4.020000 | -0.300000 | 0.440000 | 846.440000 | 0.0 | 0.000000 | 0.000000 | 0.375000 | 0.352459 | 0.875000 |
| 1 | 15 | 2005 | 0 | 0 | 0 | 0 | 1 | 3000000.0 | 4190683 | 57166530 | 79855609 | 1897469981 | 2650565322 | 0.052478 | 0.001581 | 0.030128 | 1.450000 | 3.460000 | 0.780000 | 1.940000 | 0.520000 | 0.650000 | 0.210000 | 1.030000 | 1.240000 | 0.670000 | 0.390000 | 0.030000 | 0.500000 | 0.850000 | 4.200000 | 0.300000 | 0.490000 | 703.610000 | 0.0 | 0.000000 | 0.110000 | 0.419075 | 0.402062 | 0.800000 |
| 2 | 15 | 2006 | 0 | 0 | 0 | 1 | 0 | 1178348.0 | 1577882 | 65841120 | 88165438 | 1939373647 | 2596944366 | 0.017897 | 0.000608 | 0.033950 | 1.270000 | 3.070000 | 0.640000 | 1.610000 | 0.450000 | 0.580000 | 0.190000 | 0.870000 | 1.060000 | 0.590000 | 0.330000 | 0.040000 | 0.450000 | 0.820000 | 3.630000 | 0.710000 | 0.550000 | 616.200000 | 0.0 | 0.000000 | 0.060000 | 0.413681 | 0.397516 | 0.775862 |
| 3 | 15 | 2007 | 0 | 0 | 0 | 1 | 0 | 1219590.0 | 1590374 | 71323049 | 93006958 | 2063887234 | 2691358145 | 0.017100 | 0.000591 | 0.034558 | 1.250000 | 3.020000 | 0.620000 | 1.620000 | 0.440000 | 0.570000 | 0.200000 | 0.850000 | 1.050000 | 0.550000 | 0.310000 | 0.050000 | 0.440000 | 0.800000 | 3.560000 | 0.570000 | 0.600000 | 585.960000 | 0.0 | 0.000000 | 0.060000 | 0.413907 | 0.382716 | 0.771930 |
| 4 | 56 | 2004 | 0 | 0 | 0 | 1 | 1 | 5408700.0 | 7746558 | 64577356 | 92490288 | 1773666037 | 2540315861 | 0.083755 | 0.003049 | 0.036409 | 5.230000 | 11.450000 | 0.650000 | 2.070000 | 1.900000 | 2.640000 | 0.870000 | 3.070000 | 3.940000 | 5.310000 | 1.130000 | 0.200000 | 1.730000 | 2.230000 | 13.010000 | 2.590000 | 0.650000 | 2078.580000 | 0.0 | 0.000000 | 1.000000 | 0.456769 | 0.314010 | 0.719697 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 6562 | 1630218 | 2021 | 0 | 0 | 1 | 0 | 1 | 1517981.0 | 1517981 | 130457848 | 130457848 | 4125163242 | 4125163242 | 0.011636 | 0.000368 | 0.031625 | 0.625000 | 1.625000 | 0.062500 | 0.500000 | 0.312500 | 0.625000 | 0.437500 | 1.125000 | 1.562500 | 0.125000 | 0.062500 | 0.250000 | 0.062500 | 0.375000 | 1.625000 | 0.125000 | 0.312500 | 271.562500 | 0.0 | 0.000000 | 0.000000 | 0.384615 | 0.125000 | 0.500000 |
| 6563 | 1630241 | 2021 | 1 | 0 | 1 | 0 | 1 | 1517981.0 | 1517981 | 117284457 | 117284457 | 4125163242 | 4125163242 | 0.012943 | 0.000368 | 0.028431 | 0.926829 | 2.146341 | 0.634146 | 1.439024 | 0.121951 | 0.121951 | 0.170732 | 0.707317 | 0.878049 | 0.536585 | 0.292683 | 0.048780 | 0.268293 | 0.536585 | 2.609756 | -1.000000 | 0.585366 | 422.390244 | 0.0 | 0.024390 | 0.024390 | 0.431818 | 0.440678 | 1.000000 |
| 6564 | 1630256 | 2021 | 0 | 1 | 0 | 1 | 0 | 1517981.0 | 1517981 | 132267085 | 132267085 | 4125163242 | 4125163242 | 0.011477 | 0.000368 | 0.032063 | 4.333333 | 8.613333 | 0.813333 | 2.706667 | 1.373333 | 2.013333 | 1.866667 | 3.466667 | 5.333333 | 2.453333 | 1.186667 | 0.493333 | 1.373333 | 3.133333 | 10.853333 | -2.466667 | 0.266667 | 1703.480000 | 0.0 | 0.786667 | 0.013333 | 0.503096 | 0.300493 | 0.682119 |
| 6565 | 1630264 | 2021 | 1 | 0 | 1 | 1 | 1 | 1517981.0 | 1517981 | 128019790 | 128019790 | 4125163242 | 4125163242 | 0.011857 | 0.000368 | 0.031034 | 1.028571 | 2.057143 | 0.257143 | 0.857143 | 0.428571 | 0.514286 | 0.514286 | 1.142857 | 1.657143 | 0.371429 | 0.342857 | 0.114286 | 0.342857 | 1.085714 | 2.742857 | -1.000000 | 0.400000 | 484.200000 | 0.0 | 0.142857 | 0.000000 | 0.500000 | 0.300000 | 0.833333 |
| 6566 | 1630267 | 2021 | 1 | 1 | 1 | 0 | 0 | 3200000.0 | 3200000 | 138598410 | 138598410 | 4125163242 | 4125163242 | 0.023088 | 0.000776 | 0.033598 | 1.961538 | 5.153846 | 1.243590 | 3.487179 | 1.243590 | 1.435897 | 0.371795 | 1.756410 | 2.128205 | 3.576923 | 1.230769 | 0.243590 | 1.192308 | 2.243590 | 6.410256 | 0.602564 | 0.628205 | 1341.000000 | 0.0 | 0.000000 | 0.358974 | 0.380597 | 0.356618 | 0.866071 |
6567 rows × 40 columns
To start off, we conduct an 80-20 train-test split:
from sklearn.model_selection import train_test_split
X = df.drop(columns=['PLAYER_ID', 'SALARY', 'INFLATION_ADJ_SALARY', 'TEAM_PAYROLL', 'LEAGUE_PAYROLL',
'TEAM_IMPORTANCE', 'LEAGUE_IMPORTANCE', 'TEAM_MARKET_SIZE'])
y = df['INFLATION_ADJ_SALARY']
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=101)
We construct a base model to compare model results against. This model will just output the mean every time.
from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score
y_pred = [y_train.mean()] * len(y_test)
print("Name: Base Model (Mean)")
print("MAE:", mean_absolute_error(y_test, y_pred))
print("MSE:", mean_squared_error(y_test, y_pred))
print("RMSE:", mean_squared_error(y_test, y_pred, squared=False))
print("R2:", r2_score(y_test, y_pred))
Name: Base Model (Mean) MAE: 5489189.7861778485 MSE: 49759677098593.23 RMSE: 7054053.947808539 R2: -0.00479402044184285
We scale/normalize the data to perform better on different types of models. The resultant preprocessor will be used in the model pipelines.
from sklearn.preprocessing import StandardScaler, MinMaxScaler
from sklearn.compose import ColumnTransformer
ss_columns = ['INFLATION_ADJ_TEAM_PAYROLL', 'INFLATION_ADJ_LEAGUE_PAYROLL', 'FGM', 'FGA', 'FG3M', 'FG3A', 'FTM', 'FTA',
'OREB', 'DREB', 'REB', 'AST', 'STL', 'BLK', 'TO', 'PF', 'PTS', 'PLUS_MINUS', 'SECS_PLAYED']
mm_columns = ['SEASON_START', ] # uniform distribution; not normal distribution
preprocessor = ColumnTransformer([
('standard', StandardScaler(), ss_columns),
('minmax', MinMaxScaler(), mm_columns),
], remainder='passthrough') # note: order of columns is ss_columns + mm_columns + remainder cols
We run different combinations and models on the dataset:
from sklearn.pipeline import Pipeline
from sklearn.experimental import enable_halving_search_cv # enable halving grid search
from sklearn.linear_model import LinearRegression, Ridge, Lasso, SGDRegressor
from sklearn.neighbors import KNeighborsRegressor
from sklearn.tree import DecisionTreeRegressor
from sklearn.ensemble import RandomForestRegressor, AdaBoostRegressor, GradientBoostingRegressor, HistGradientBoostingRegressor
from sklearn.model_selection import HalvingGridSearchCV
hyperparameters = {
'Linear': {
'model__fit_intercept': [True, False],
},
'Ridge': {
'model__fit_intercept': [True, False],
'model__alpha': [1e-10, 1e-8, 1e-5, 1e-4, 1e-3, 1e-2, 1],
},
'Lasso': {
'model__fit_intercept': [True, False],
'model__alpha': [1e-10, 1e-8, 1e-5, 1e-4, 1e-3, 1e-2, 1],
'model__precompute': [True, False],
'model__selection': ['cyclic', 'random'],
},
'KNN': {
'model__n_neighbors': [4, 6, 8, 10, 15, 20],
'model__leaf_size': list(range(20, 40, 2)),
'model__p': [1, 2],
'model__weights': ['uniform', 'distance'],
'model__metric': ['minkowski', 'chebyshev'],
},
'SGD': {
'model__fit_intercept': [True, False],
'model__loss': ['squared_error', 'huber'],
'model__penalty': ['l1', 'l2'],
'model__alpha': [1e-10, 1e-8, 1e-5, 1e-4, 1e-3, 1e-2, 1],
'model__learning_rate': ['optimal', 'invscaling', 'adaptive'],
'model__shuffle': [True, False],
'model__average': [True, False],
'model__max_iter': [1000, 5000, 15000]
},
'SVR': {
'model__epsilon': [0, 0.1, 0.2, 0.3, 0.5],
'model__intercept_scaling': [0.5, 1, 2, 3, 5],
'model__fit_intercept': [True, False],
'model__C': [0.1, 0.5, 1, 5, 10]
},
'RF': {
'model__bootstrap': [True, False],
'model__max_depth': [10, 50, 100, None],
'model__max_features': ['auto', 'sqrt'],
'model__min_samples_leaf': [1, 2, 4],
'model__min_samples_split': [2, 5, 10],
'model__n_estimators': [100, 200, 400, 600, 1000],
},
'AB': {
'model__base_estimator': [DecisionTreeRegressor(max_depth=10), DecisionTreeRegressor(max_depth=100),
DecisionTreeRegressor(max_depth=200), DecisionTreeRegressor(max_depth=None)],
'model__learning_rate': [0.01, 0.1, 0.2, 0.3, 0.5, 0.8, 1, 1.5, 2],
'model__loss': ['linear', 'square'],
'model__n_estimators': [100, 200, 400, 600, 1000],
},
'GB': {
'model__loss': ['squared_error', 'absolute_error'],
'model__learning_rate': [0.001, 0.01, 0.1, 0.5, 1],
'model__max_features': ['log2', 'sqrt'],
'model__min_samples_leaf': [1, 2, 5, 10],
'model__min_samples_split': [2, 5, 20],
'model__n_estimators': [100, 300, 600, 1000],
},
'HGB': {
'model__loss': ['squared_error', 'absolute_error'],
'model__learning_rate': [0.001, 0.01, 0.1, 0.5, 1],
'model__max_iter': [100, 300, 600, 1000],
'model__min_samples_leaf': [1, 2, 5, 10, 20],
'model__l2_regularization': [0.1, 0.001, 0.0001, 0]
}
}
We use HalvingGridSearchCV instead of GridSearchCV in this particular instance, because we have a lot of models and model parameters that we want to test. Once we have the best-performing models from this hyperparameter tuning process, we will re-tune the best models using regular GridSearchCV.
models = [
('Linear', LinearRegression()),
('Ridge', Ridge()),
('Lasso', Lasso()),
('KNN', KNeighborsRegressor()),
('SGD', SGDRegressor()),
('RF', RandomForestRegressor()),
('AB', AdaBoostRegressor()),
('GB', GradientBoostingRegressor()),
('HGB', HistGradientBoostingRegressor())
]
results = {}
for name, model in models:
param_grid = hyperparameters[name]
pipeline = Pipeline([
('scaling', preprocessor),
('model', model)
])
# faster than grid search, increases samples & decreases num. combinations with each iter
search = HalvingGridSearchCV(pipeline, param_grid, scoring='r2', n_jobs=-1, cv=10)
result = search.fit(X_train, y_train)
print('Model Name: %s' % name)
print('Best Score: %s' % result.best_score_)
print('Best Hyperparameters: %s' % result.best_params_)
results[name] = result
Model Name: Linear
Best Score: 0.605701854118416
Best Hyperparameters: {'model__fit_intercept': True}
Model Name: Ridge
Best Score: 0.6031525375464939
Best Hyperparameters: {'model__alpha': 1e-05, 'model__fit_intercept': False}
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1475129595429704.0, tolerance: 973429145664.7559 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1293344382156411.0, tolerance: 867577457939.1893 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1391313909684619.2, tolerance: 1123918182835.4358 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1241694904483220.0, tolerance: 758327255694.3762 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1431927697296101.5, tolerance: 888669766529.6084 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1538123354726045.5, tolerance: 1060230454356.3684 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1700852231882097.5, tolerance: 887480936763.9545 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1679963903550339.8, tolerance: 1106016391431.9187 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1250457078248435.8, tolerance: 909431858672.078 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1323908325416334.5, tolerance: 898880461872.6626 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1391390317667232.8, tolerance: 1123918182835.4358 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1293413486402182.0, tolerance: 867577457939.1893 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1475144330780457.2, tolerance: 973429145664.7559 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1241699156960253.2, tolerance: 758327255694.3762 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1431982998856784.5, tolerance: 888669766529.6084 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1538204695226831.2, tolerance: 1060230454356.3684 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1701370855515735.8, tolerance: 887480936763.9545 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1680022138847518.0, tolerance: 1106016391431.9187 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1250472420022241.8, tolerance: 909431858672.078 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1324001905974449.5, tolerance: 898880461872.6626 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.391e+15, tolerance: 1.124e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.475e+15, tolerance: 9.734e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.432e+15, tolerance: 8.887e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+15, tolerance: 8.875e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.250e+15, tolerance: 9.094e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.293e+15, tolerance: 8.676e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.538e+15, tolerance: 1.060e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.680e+15, tolerance: 1.106e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.391e+15, tolerance: 1.124e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.242e+15, tolerance: 7.583e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.324e+15, tolerance: 8.989e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.475e+15, tolerance: 9.734e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.432e+15, tolerance: 8.887e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.293e+15, tolerance: 8.676e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+15, tolerance: 8.875e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.242e+15, tolerance: 7.583e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1415740162204010.8, tolerance: 2248440144400.7124 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.250e+15, tolerance: 9.094e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.538e+15, tolerance: 1.060e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1508624216037897.8, tolerance: 1882476430390.6152 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.680e+15, tolerance: 1.106e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1357855860503352.2, tolerance: 1719719264514.8528 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1475909295214648.8, tolerance: 1841606982492.5305 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1718782990966780.2, tolerance: 1827373111487.9226 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.324e+15, tolerance: 8.989e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1294039455201686.2, tolerance: 1431764371729.1833 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1257279617168435.0, tolerance: 1690321473917.652 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1586676395563607.0, tolerance: 2165007887857.2034 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1415850352558518.8, tolerance: 2248440144400.7124 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1767501388687556.8, tolerance: 2151286080171.4072 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1508669196923408.5, tolerance: 1882476430390.6152 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1364937673622066.2, tolerance: 1780932253772.9734 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1357855950037345.5, tolerance: 1719719264514.8528 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1476025763219666.8, tolerance: 1841606982492.5305 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1294048511267268.2, tolerance: 1431764371729.1833 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1718868056142667.5, tolerance: 1827373111487.9226 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1257299086188591.2, tolerance: 1690321473917.652 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1586679389150050.2, tolerance: 2165007887857.2034 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1767501436881640.8, tolerance: 2151286080171.4072 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1365113103089045.0, tolerance: 1780932253772.9734 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.416e+15, tolerance: 2.248e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.476e+15, tolerance: 1.842e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.257e+15, tolerance: 1.690e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.509e+15, tolerance: 1.882e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1391313909542813.2, tolerance: 1123918182835.4358 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.719e+15, tolerance: 1.827e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1431927697180115.0, tolerance: 888669766529.6084 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.587e+15, tolerance: 2.165e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.358e+15, tolerance: 1.720e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1293344382001781.5, tolerance: 867577457939.1893 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.294e+15, tolerance: 1.432e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.365e+15, tolerance: 1.781e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1538123354648787.8, tolerance: 1060230454356.3684 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1250457077965139.0, tolerance: 909431858672.078 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.768e+15, tolerance: 2.151e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1475129595139332.2, tolerance: 973429145664.7559 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.509e+15, tolerance: 1.882e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.719e+15, tolerance: 1.827e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.476e+15, tolerance: 1.842e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1323908325262238.0, tolerance: 898880461872.6626 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1700852231822597.8, tolerance: 887480936763.9545 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.416e+15, tolerance: 2.248e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.257e+15, tolerance: 1.690e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1241694902841841.2, tolerance: 758327255694.3762 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1391359796195654.5, tolerance: 1123918182835.4358 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.587e+15, tolerance: 2.165e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.768e+15, tolerance: 2.151e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1679963903428712.5, tolerance: 1106016391431.9187 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.294e+15, tolerance: 1.432e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1475180217275902.0, tolerance: 973429145664.7559 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1293425200062712.8, tolerance: 867577457939.1893 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.358e+15, tolerance: 1.720e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.365e+15, tolerance: 1.781e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1241696095467498.0, tolerance: 758327255694.3762 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1701372053437685.0, tolerance: 887480936763.9545 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1431965385631388.2, tolerance: 888669766529.6084 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.391e+15, tolerance: 1.124e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1680088933084210.5, tolerance: 1106016391431.9187 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1538271325010278.8, tolerance: 1060230454356.3684 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.432e+15, tolerance: 8.887e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1250476224430156.5, tolerance: 909431858672.078 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.293e+15, tolerance: 8.676e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.250e+15, tolerance: 9.094e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1324010166682244.8, tolerance: 898880461872.6626 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.475e+15, tolerance: 9.734e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1415740162093991.0, tolerance: 2248440144400.7124 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+15, tolerance: 8.875e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.538e+15, tolerance: 1.060e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1357855851870522.2, tolerance: 1719719264514.8528 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.475e+15, tolerance: 9.734e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1475909295132141.8, tolerance: 1841606982492.5305 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.324e+15, tolerance: 8.989e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.242e+15, tolerance: 7.583e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1257279616729330.8, tolerance: 1690321473917.652 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1508624215676162.0, tolerance: 1882476430390.6152 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+15, tolerance: 8.875e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1586676389813139.5, tolerance: 2165007887857.2034 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.680e+15, tolerance: 1.106e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1294039443807333.5, tolerance: 1431764371729.1833 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1364937673502413.5, tolerance: 1780932253772.9734 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.242e+15, tolerance: 7.583e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1718782990653120.2, tolerance: 1827373111487.9226 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.391e+15, tolerance: 1.124e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.432e+15, tolerance: 8.887e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.680e+15, tolerance: 1.106e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1415859674421055.8, tolerance: 2248440144400.7124 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.250e+15, tolerance: 9.094e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1767501388249889.0, tolerance: 2151286080171.4072 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1508649751467931.5, tolerance: 1882476430390.6152 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.538e+15, tolerance: 1.060e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.293e+15, tolerance: 8.676e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1357855940653342.5, tolerance: 1719719264514.8528 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.324e+15, tolerance: 8.989e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1718843687876394.8, tolerance: 1827373111487.9226 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1294041711744311.0, tolerance: 1431764371729.1833 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1767513774463413.0, tolerance: 2151286080171.4072 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.416e+15, tolerance: 2.248e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.257e+15, tolerance: 1.690e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1476051390323599.5, tolerance: 1841606982492.5305 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1431927580137346.5, tolerance: 888669766529.6084 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1257298918715100.8, tolerance: 1690321473917.652 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.719e+15, tolerance: 1.827e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1475149273479367.2, tolerance: 973429145664.7559 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1586680022694012.8, tolerance: 2165007887857.2034 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1538123276667278.5, tolerance: 1060230454356.3684 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.358e+15, tolerance: 1.720e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1365153187358941.5, tolerance: 1780932253772.9734 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.391e+15, tolerance: 1.124e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.365e+15, tolerance: 1.781e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1241698587980721.2, tolerance: 758327255694.3762 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1700852171829329.8, tolerance: 887480936763.9545 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.768e+15, tolerance: 2.151e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.509e+15, tolerance: 1.882e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1432023019324951.8, tolerance: 888669766529.6084 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1679963780738337.2, tolerance: 1106016391431.9187 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.293e+15, tolerance: 8.676e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.416e+15, tolerance: 2.248e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.250e+15, tolerance: 9.094e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.257e+15, tolerance: 1.690e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1538236878724406.8, tolerance: 1060230454356.3684 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.294e+15, tolerance: 1.432e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.475e+15, tolerance: 9.734e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1701361624545118.5, tolerance: 887480936763.9545 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1250456792114406.5, tolerance: 909431858672.078 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.324e+15, tolerance: 8.989e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.358e+15, tolerance: 1.720e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+15, tolerance: 8.875e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1680016933698940.2, tolerance: 1106016391431.9187 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.365e+15, tolerance: 1.781e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.242e+15, tolerance: 7.583e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1475909211885620.8, tolerance: 1841606982492.5305 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1250459666214639.2, tolerance: 909431858672.078 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.391e+15, tolerance: 1.124e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1391313766419370.0, tolerance: 1123918182835.4358 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.509e+15, tolerance: 1.882e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1324025472760649.8, tolerance: 898880461872.6626 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1323908169764984.8, tolerance: 898880461872.6626 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.432e+15, tolerance: 8.887e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.293e+15, tolerance: 8.676e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.476e+15, tolerance: 1.842e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.680e+15, tolerance: 1.106e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1586670587121967.2, tolerance: 2165007887857.2034 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1508678827749965.8, tolerance: 1882476430390.6152 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.294e+15, tolerance: 1.432e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.538e+15, tolerance: 1.060e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1718782674184265.8, tolerance: 1827373111487.9226 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.587e+15, tolerance: 2.165e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.250e+15, tolerance: 9.094e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1767500946760914.2, tolerance: 2151286080171.4072 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1293344225962758.5, tolerance: 867577457939.1893 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.416e+15, tolerance: 2.248e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+15, tolerance: 8.875e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.719e+15, tolerance: 1.827e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.476e+15, tolerance: 1.842e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.475e+15, tolerance: 9.734e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1294042051460575.2, tolerance: 1431764371729.1833 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.324e+15, tolerance: 8.989e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1391390710632162.2, tolerance: 1123918182835.4358 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1475129302125002.0, tolerance: 973429145664.7559 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1257279173869432.8, tolerance: 1690321473917.652 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.680e+15, tolerance: 1.106e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1415740051268401.2, tolerance: 2248440144400.7124 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1476084138086419.5, tolerance: 1841606982492.5305 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.358e+15, tolerance: 1.720e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1293379713500665.8, tolerance: 867577457939.1893 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.242e+15, tolerance: 7.583e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1586682778720800.0, tolerance: 2165007887857.2034 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1364937552658818.0, tolerance: 1780932253772.9734 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.587e+15, tolerance: 2.165e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1241693246587420.0, tolerance: 758327255694.3762 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.768e+15, tolerance: 2.151e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1357847140635283.5, tolerance: 1719719264514.8528 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.509e+15, tolerance: 1.882e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1718967297477818.2, tolerance: 1827373111487.9226 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1415912728536227.5, tolerance: 2248440144400.7124 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.257e+15, tolerance: 1.690e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.432e+15, tolerance: 8.887e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1508623850815506.0, tolerance: 1882476430390.6152 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.719e+15, tolerance: 1.827e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1767506212991087.5, tolerance: 2151286080171.4072 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1431926525698492.2, tolerance: 888669766529.6084 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1357857357573542.0, tolerance: 1719719264514.8528 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1475150632438586.0, tolerance: 973429145664.7559 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.294e+15, tolerance: 1.432e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1257294080930435.2, tolerance: 1690321473917.652 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1294027946116319.8, tolerance: 1431764371729.1833 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1538122574130846.0, tolerance: 1060230454356.3684 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.365e+15, tolerance: 1.781e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.768e+15, tolerance: 2.151e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1241697110952684.5, tolerance: 758327255694.3762 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1365249205674980.5, tolerance: 1780932253772.9734 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.538e+15, tolerance: 1.060e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1700851631350843.8, tolerance: 887480936763.9545 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.476e+15, tolerance: 1.842e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.250e+15, tolerance: 9.094e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.391e+15, tolerance: 1.124e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.257e+15, tolerance: 1.690e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.416e+15, tolerance: 2.248e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1679962675417986.8, tolerance: 1106016391431.9187 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1432007600365237.2, tolerance: 888669766529.6084 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+15, tolerance: 8.875e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.587e+15, tolerance: 2.165e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1475908461916699.8, tolerance: 1841606982492.5305 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1250454216882808.8, tolerance: 909431858672.078 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.293e+15, tolerance: 8.676e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1538262582212911.0, tolerance: 1060230454356.3684 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.324e+15, tolerance: 8.989e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.365e+15, tolerance: 1.781e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.358e+15, tolerance: 1.720e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.680e+15, tolerance: 1.106e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1323906768888689.0, tolerance: 898880461872.6626 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1586618310685883.5, tolerance: 2165007887857.2034 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1701254709903225.8, tolerance: 887480936763.9545 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.719e+15, tolerance: 1.827e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1391312477019943.5, tolerance: 1123918182835.4358 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1508650657954592.8, tolerance: 1882476430390.6152 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1391372458120358.5, tolerance: 1123918182835.4358 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.475e+15, tolerance: 9.734e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.250e+15, tolerance: 9.094e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1680100441112857.8, tolerance: 1106016391431.9187 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.391e+15, tolerance: 1.124e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1718779823113677.8, tolerance: 1827373111487.9226 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.509e+15, tolerance: 1.882e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1294038318152095.0, tolerance: 1431764371729.1833 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.768e+15, tolerance: 2.151e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1293420432506808.2, tolerance: 867577457939.1893 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1767496969374156.2, tolerance: 2151286080171.4072 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1293342820205641.5, tolerance: 867577457939.1893 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1250459777007380.0, tolerance: 909431858672.078 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1476066577645913.2, tolerance: 1841606982492.5305 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.242e+15, tolerance: 7.583e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.294e+15, tolerance: 1.432e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.324e+15, tolerance: 8.989e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1323961859260845.2, tolerance: 898880461872.6626 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.293e+15, tolerance: 8.676e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1257275184142651.2, tolerance: 1690321473917.652 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1475126662357235.2, tolerance: 973429145664.7559 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1586683203066589.2, tolerance: 2165007887857.2034 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1415739052837205.0, tolerance: 2248440144400.7124 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.432e+15, tolerance: 8.887e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.476e+15, tolerance: 1.842e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1241678325331592.2, tolerance: 758327255694.3762 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.475e+15, tolerance: 9.734e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1357768662517932.5, tolerance: 1719719264514.8528 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1718824211354015.0, tolerance: 1827373111487.9226 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.416e+15, tolerance: 2.248e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1364936463977427.8, tolerance: 1780932253772.9734 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1508620563782906.5, tolerance: 1882476430390.6152 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1767497172926643.8, tolerance: 2151286080171.4072 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.587e+15, tolerance: 2.165e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.538e+15, tolerance: 1.060e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.242e+15, tolerance: 7.583e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1415938638457443.8, tolerance: 2248440144400.7124 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.719e+15, tolerance: 1.827e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1257289525911750.5, tolerance: 1690321473917.652 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1293924378258013.5, tolerance: 1431764371729.1833 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.358e+15, tolerance: 1.720e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1475139191381410.5, tolerance: 973429145664.7559 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1365112069440692.0, tolerance: 1780932253772.9734 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1357841011219601.0, tolerance: 1719719264514.8528 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+15, tolerance: 8.875e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.432e+15, tolerance: 8.887e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1241690049803785.8, tolerance: 758327255694.3762 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.509e+15, tolerance: 1.882e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.767e+15, tolerance: 2.151e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.250e+15, tolerance: 9.094e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1475900962230865.5, tolerance: 1841606982492.5305 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.538e+15, tolerance: 1.060e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1431975293608723.2, tolerance: 888669766529.6084 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.680e+15, tolerance: 1.106e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1586095552482740.2, tolerance: 2165007887857.2034 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.294e+15, tolerance: 1.432e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.257e+15, tolerance: 1.690e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.416e+15, tolerance: 2.248e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.324e+15, tolerance: 8.989e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.719e+15, tolerance: 1.827e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1475021486911937.8, tolerance: 973429145664.7559 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1538218640041242.2, tolerance: 1060230454356.3684 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1718751312532688.5, tolerance: 1827373111487.9226 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.476e+15, tolerance: 1.842e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.365e+15, tolerance: 1.781e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.391e+15, tolerance: 1.124e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1241571796989754.5, tolerance: 758327255694.3762 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.357e+15, tolerance: 1.720e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1701248112858024.5, tolerance: 887480936763.9545 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1767457194851250.8, tolerance: 2151286080171.4072 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.767e+15, tolerance: 2.151e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1475825965743170.8, tolerance: 1841606982492.5305 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1391299583035769.2, tolerance: 1123918182835.4358 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.250e+15, tolerance: 9.094e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.587e+15, tolerance: 2.165e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1431885393914194.2, tolerance: 888669766529.6084 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.293e+15, tolerance: 8.676e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1257235287093238.2, tolerance: 1690321473917.652 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.509e+15, tolerance: 1.882e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.257e+15, tolerance: 1.690e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1580868590385696.8, tolerance: 2165007887857.2034 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1538218650566191.5, tolerance: 1060230454356.3684 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1364925577124274.8, tolerance: 1780932253772.9734 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1680132479146742.5, tolerance: 1106016391431.9187 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.324e+15, tolerance: 8.989e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.719e+15, tolerance: 1.827e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.475e+15, tolerance: 9.734e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1293328762594916.5, tolerance: 867577457939.1893 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1415948371338752.0, tolerance: 2248440144400.7124 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1701373577705331.8, tolerance: 887480936763.9545 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.293e+15, tolerance: 1.432e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1718466219149739.8, tolerance: 1827373111487.9226 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1250464472997148.8, tolerance: 909431858672.078 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1475100264737716.8, tolerance: 973429145664.7559 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1357753094794303.8, tolerance: 1719719264514.8528 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.365e+15, tolerance: 1.781e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.767e+15, tolerance: 2.151e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.242e+15, tolerance: 7.583e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1680019968596905.0, tolerance: 1106016391431.9187 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.391e+15, tolerance: 1.124e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.476e+15, tolerance: 1.842e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1767059383848030.8, tolerance: 2151286080171.4072 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1508643656789192.2, tolerance: 1882476430390.6152 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1391170644199720.5, tolerance: 1123918182835.4358 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1250424499004469.0, tolerance: 909431858672.078 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1323989160711252.2, tolerance: 898880461872.6626 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1256836338366399.5, tolerance: 1690321473917.652 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.432e+15, tolerance: 8.887e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.257e+15, tolerance: 1.690e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1324034121621238.2, tolerance: 898880461872.6626 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.293e+15, tolerance: 8.676e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1293188182588771.0, tolerance: 867577457939.1893 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1241529108351550.0, tolerance: 758327255694.3762 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.586e+15, tolerance: 2.165e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1294033134066631.0, tolerance: 1431764371729.1833 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1364816704505999.2, tolerance: 1780932253772.9734 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1431915981319371.0, tolerance: 888669766529.6084 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1474836294333447.2, tolerance: 973429145664.7559 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.538e+15, tolerance: 1.060e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.365e+15, tolerance: 1.781e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1476021530959631.8, tolerance: 1841606982492.5305 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1415827366304677.8, tolerance: 2248440144400.7124 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.719e+15, tolerance: 1.827e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.475e+15, tolerance: 9.734e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.391e+15, tolerance: 1.124e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1538115548756631.0, tolerance: 1060230454356.3684 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1240036496406273.2, tolerance: 758327255694.3762 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1586671059478832.0, tolerance: 2165007887857.2034 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1356895773659652.8, tolerance: 1719719264514.8528 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+15, tolerance: 8.875e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.416e+15, tolerance: 2.248e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1700846226574875.0, tolerance: 887480936763.9545 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.391e+15, tolerance: 1.124e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1431810538503197.2, tolerance: 888669766529.6084 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1718865787581128.2, tolerance: 1827373111487.9226 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.767e+15, tolerance: 2.151e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1679951622183585.8, tolerance: 1106016391431.9187 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.241e+15, tolerance: 7.583e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1767480380783871.5, tolerance: 2151286080171.4072 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1538045294112240.8, tolerance: 1060230454356.3684 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.293e+15, tolerance: 8.676e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1250428464659688.8, tolerance: 909431858672.078 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.293e+15, tolerance: 8.676e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.680e+15, tolerance: 1.106e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.358e+15, tolerance: 1.720e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1700792179823934.8, tolerance: 887480936763.9545 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.432e+15, tolerance: 8.887e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1323892760152150.5, tolerance: 898880461872.6626 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1508640266409627.5, tolerance: 1882476430390.6152 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.475e+15, tolerance: 9.734e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1257296388188908.8, tolerance: 1690321473917.652 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.475e+15, tolerance: 9.734e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1679841086585071.8, tolerance: 1106016391431.9187 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.257e+15, tolerance: 1.690e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.250e+15, tolerance: 9.094e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.509e+15, tolerance: 1.882e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1293666364123735.2, tolerance: 1431764371729.1833 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1250170951547985.5, tolerance: 909431858672.078 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1476117795069992.0, tolerance: 1841606982492.5305 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.240e+15, tolerance: 7.583e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.242e+15, tolerance: 7.583e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.294e+15, tolerance: 1.432e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1323752675383501.8, tolerance: 898880461872.6626 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.324e+15, tolerance: 8.989e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1391344043734652.8, tolerance: 1123918182835.4358 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1365197470927084.0, tolerance: 1780932253772.9734 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.365e+15, tolerance: 1.781e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.538e+15, tolerance: 1.060e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1391336076372103.0, tolerance: 1123918182835.4358 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1415729068535600.5, tolerance: 2248440144400.7124 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1293403889319775.5, tolerance: 867577457939.1893 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.476e+15, tolerance: 1.842e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.432e+15, tolerance: 8.887e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.432e+15, tolerance: 8.887e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1293329451502958.0, tolerance: 867577457939.1893 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1356984027886897.0, tolerance: 1719719264514.8528 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+15, tolerance: 8.875e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1586612367210171.2, tolerance: 2165007887857.2034 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.416e+15, tolerance: 2.248e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1508587693548941.2, tolerance: 1882476430390.6152 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.587e+15, tolerance: 2.165e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.538e+15, tolerance: 1.060e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.416e+15, tolerance: 2.248e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.538e+15, tolerance: 1.060e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1718853966082742.8, tolerance: 1827373111487.9226 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1292890177261837.5, tolerance: 1431764371729.1833 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.680e+15, tolerance: 1.106e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+15, tolerance: 8.875e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1767156012266228.8, tolerance: 2151286080171.4072 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.349e+15, tolerance: 1.720e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.358e+15, tolerance: 1.720e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+15, tolerance: 8.875e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.508e+15, tolerance: 1.882e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1257228009921298.0, tolerance: 1690321473917.652 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.250e+15, tolerance: 9.094e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.680e+15, tolerance: 1.106e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.509e+15, tolerance: 1.882e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1365098653546636.5, tolerance: 1780932253772.9734 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.680e+15, tolerance: 1.106e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.283e+15, tolerance: 1.432e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.324e+15, tolerance: 8.989e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.476e+15, tolerance: 1.842e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.294e+15, tolerance: 1.432e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.581e+15, tolerance: 2.165e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1415629226170831.8, tolerance: 2248440144400.7124 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.718e+15, tolerance: 1.827e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.767e+15, tolerance: 2.151e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.257e+15, tolerance: 1.690e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1349152328285182.8, tolerance: 1719719264514.8528 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.476e+15, tolerance: 1.842e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.365e+15, tolerance: 1.781e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.416e+15, tolerance: 2.248e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1508259000225971.5, tolerance: 1882476430390.6152 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.357e+15, tolerance: 1.720e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.509e+15, tolerance: 1.882e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.294e+15, tolerance: 1.432e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.587e+15, tolerance: 2.165e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1282693874960203.0, tolerance: 1431764371729.1833 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.476e+15, tolerance: 1.842e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.587e+15, tolerance: 2.165e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.719e+15, tolerance: 1.827e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.767e+15, tolerance: 2.151e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.257e+15, tolerance: 1.690e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.365e+15, tolerance: 1.781e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1376998623395672.0, tolerance: 1123918182835.4358 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1277681120483565.5, tolerance: 867577457939.1893 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1445864411805357.0, tolerance: 973429145664.7559 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1071004889358869.8, tolerance: 758327255694.3762 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1420222689225804.8, tolerance: 888669766529.6084 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1530307252987395.0, tolerance: 1060230454356.3684 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1694858213308127.2, tolerance: 887480936763.9545 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1667645973140078.2, tolerance: 1106016391431.9187 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1221946307842244.5, tolerance: 909431858672.078 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1308372257563151.5, tolerance: 898880461872.6626 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1387843794081659.0, tolerance: 1123918182835.4358 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1290749868332544.8, tolerance: 867577457939.1893 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1466974676827991.0, tolerance: 973429145664.7559 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1235871296992299.0, tolerance: 758327255694.3762 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1428024551273334.5, tolerance: 888669766529.6084 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1536719059798940.8, tolerance: 1060230454356.3684 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1700507901901150.8, tolerance: 887480936763.9545 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1678271292583849.0, tolerance: 1106016391431.9187 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1242851717991348.0, tolerance: 909431858672.078 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1322243210070369.0, tolerance: 898880461872.6626 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.377e+15, tolerance: 1.124e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.278e+15, tolerance: 8.676e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.071e+15, tolerance: 7.583e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.446e+15, tolerance: 9.734e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.420e+15, tolerance: 8.887e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.530e+15, tolerance: 1.060e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.695e+15, tolerance: 8.875e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.668e+15, tolerance: 1.106e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.222e+15, tolerance: 9.094e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.308e+15, tolerance: 8.989e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.387e+15, tolerance: 1.124e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.291e+15, tolerance: 8.676e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.466e+15, tolerance: 9.734e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.237e+15, tolerance: 7.583e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.425e+15, tolerance: 8.887e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.536e+15, tolerance: 1.060e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.700e+15, tolerance: 8.875e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.677e+15, tolerance: 1.106e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.244e+15, tolerance: 9.094e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.322e+15, tolerance: 8.989e+11 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1404653808739361.0, tolerance: 2248440144400.7124 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 642127974968103.5, tolerance: 1719719264514.8528 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1472203880907951.5, tolerance: 1882476430390.6152 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 827674179929139.2, tolerance: 1431764371729.1833 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1467580462278968.0, tolerance: 1841606982492.5305 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1018326557309258.0, tolerance: 2165007887857.2034 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1687243939999419.5, tolerance: 1827373111487.9226 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1722559500329608.2, tolerance: 2151286080171.4072 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1213195683539623.5, tolerance: 1690321473917.652 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1352795255369021.8, tolerance: 1780932253772.9734 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1413731780766847.8, tolerance: 2248440144400.7124 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1309404825240617.5, tolerance: 1719719264514.8528 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1505539127213047.0, tolerance: 1882476430390.6152 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1246951300318021.0, tolerance: 1431764371729.1833 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1474679653913139.5, tolerance: 1841606982492.5305 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1578512021667918.5, tolerance: 2165007887857.2034 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1715907576880690.2, tolerance: 1827373111487.9226 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1755830038873953.8, tolerance: 2151286080171.4072 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1252429563942940.5, tolerance: 1690321473917.652 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1363820078927725.0, tolerance: 1780932253772.9734 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.405e+15, tolerance: 2.248e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.421e+14, tolerance: 1.720e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.472e+15, tolerance: 1.882e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.277e+14, tolerance: 1.432e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.468e+15, tolerance: 1.842e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.018e+15, tolerance: 2.165e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.687e+15, tolerance: 1.827e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.723e+15, tolerance: 2.151e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.213e+15, tolerance: 1.690e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.353e+15, tolerance: 1.781e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.413e+15, tolerance: 2.248e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.251e+15, tolerance: 1.720e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.506e+15, tolerance: 1.882e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.269e+15, tolerance: 1.432e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.475e+15, tolerance: 1.842e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.574e+15, tolerance: 2.165e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.717e+15, tolerance: 1.827e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.748e+15, tolerance: 2.151e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.254e+15, tolerance: 1.690e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.364e+15, tolerance: 1.781e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.078e+15, tolerance: 5.811e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.625e+15, tolerance: 5.787e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.650e+15, tolerance: 5.984e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.852e+15, tolerance: 5.267e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.022e+15, tolerance: 5.974e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.075e+15, tolerance: 5.811e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.550e+15, tolerance: 5.787e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.647e+15, tolerance: 5.984e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.759e+15, tolerance: 5.947e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.225e+15, tolerance: 6.141e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.064e+15, tolerance: 5.071e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.479e+15, tolerance: 6.108e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.839e+15, tolerance: 5.267e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.941e+15, tolerance: 6.053e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.756e+15, tolerance: 5.947e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.057e+15, tolerance: 5.071e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.222e+15, tolerance: 6.141e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.010e+15, tolerance: 5.974e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.479e+15, tolerance: 6.108e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5075233873173936.0, tolerance: 5811277577238.784 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.931e+15, tolerance: 6.053e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5756468627168240.0, tolerance: 5946765980632.823 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5078609711455738.0, tolerance: 5811277577238.784 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5549568656825544.0, tolerance: 5787110665343.972 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.833e+15, tolerance: 5.267e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.634e+15, tolerance: 5.787e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.022e+15, tolerance: 5.974e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5759246791550489.0, tolerance: 5946765980632.823 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.650e+15, tolerance: 5.984e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5056777643891344.0, tolerance: 5071422566475.551 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5633696145445257.0, tolerance: 5787110665343.972 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5646776553266655.0, tolerance: 5983767162545.768 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5065084521268238.0, tolerance: 5071422566475.551 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.385e+15, tolerance: 6.108e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.941e+15, tolerance: 6.053e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5650033949299036.0, tolerance: 5983767162545.768 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6222388418519057.0, tolerance: 6141333618931.668 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.065e+15, tolerance: 5.071e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.225e+15, tolerance: 6.141e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6225302002749788.0, tolerance: 6141333618931.668 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4839242905481612.0, tolerance: 5266906585889.197 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4853172889050684.0, tolerance: 5266906585889.197 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5478608440095509.0, tolerance: 6107992567127.836 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.079e+15, tolerance: 5.811e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.064e+15, tolerance: 5.974e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5479744455631590.0, tolerance: 6107992567127.836 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.853e+15, tolerance: 5.267e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.650e+15, tolerance: 5.984e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5010033732302091.0, tolerance: 5973939931901.779 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5022871376504447.0, tolerance: 5973939931901.779 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.759e+15, tolerance: 5.947e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4941600333163086.0, tolerance: 6053258223927.107 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4931315057133281.0, tolerance: 6053258223927.107 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5502688200945381.0, tolerance: 5787110665343.972 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.853e+15, tolerance: 5.267e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5022869192205840.0, tolerance: 5973939931901.779 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5031291327246237.0, tolerance: 5071422566475.551 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4941608119233478.0, tolerance: 6053258223927.107 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.079e+15, tolerance: 5.811e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.634e+15, tolerance: 5.787e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.480e+15, tolerance: 6.108e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.986e+15, tolerance: 6.053e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5630808073837714.0, tolerance: 5983767162545.768 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5078610962930994.0, tolerance: 5811277577238.784 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.225e+15, tolerance: 6.141e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5650026373633304.0, tolerance: 5983767162545.768 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4745399286515175.0, tolerance: 5811277577238.784 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6203664376345509.0, tolerance: 6141333618931.668 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.480e+15, tolerance: 6.108e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6225316796822810.0, tolerance: 6141333618931.668 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.745e+15, tolerance: 5.811e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4801021592821972.0, tolerance: 5266906585889.197 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.065e+15, tolerance: 5.071e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.759e+15, tolerance: 5.947e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5759201380311900.0, tolerance: 5946765980632.823 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5470382287517823.0, tolerance: 6107992567127.836 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4853152319315680.0, tolerance: 5266906585889.197 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5487134687758537.0, tolerance: 5946765980632.823 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.023e+15, tolerance: 5.974e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4955804990968911.0, tolerance: 5973939931901.779 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5479627830597679.0, tolerance: 6107992567127.836 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.023e+15, tolerance: 5.974e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.487e+15, tolerance: 5.947e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4896133278419716.0, tolerance: 6053258223927.107 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.634e+15, tolerance: 5.787e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5022866817554956.0, tolerance: 5973939931901.779 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5631899200820414.0, tolerance: 5787110665343.972 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.853e+15, tolerance: 5.267e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1945818831981887.0, tolerance: 5787110665343.972 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.650e+15, tolerance: 5.984e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4941594002356400.0, tolerance: 6053258223927.107 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.942e+15, tolerance: 6.053e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5065008796734995.0, tolerance: 5071422566475.551 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5078628284337072.0, tolerance: 5811277577238.784 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4255224957142162.5, tolerance: 5071422566475.551 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5078618108064654.0, tolerance: 5811277577238.784 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5759227687375075.0, tolerance: 5946765980632.823 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5329610835435248.0, tolerance: 5983767162545.768 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.480e+15, tolerance: 6.108e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.065e+15, tolerance: 5.071e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5649997333412221.0, tolerance: 5983767162545.768 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5937554859523962.0, tolerance: 6141333618931.668 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.225e+15, tolerance: 6.141e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5759230985995315.0, tolerance: 5946765980632.823 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3832740478186630.0, tolerance: 5266906585889.197 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.054e+15, tolerance: 5.811e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5633695987356195.0, tolerance: 5787110665343.972 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.946e+15, tolerance: 5.787e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.942e+15, tolerance: 6.053e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5633694045389718.0, tolerance: 5787110665343.972 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5385109514747763.0, tolerance: 6107992567127.836 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6225292102112356.0, tolerance: 6141333618931.668 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5065088775980175.0, tolerance: 5071422566475.551 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.853e+15, tolerance: 5.267e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.023e+15, tolerance: 5.974e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.650e+15, tolerance: 5.984e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5065081830220903.0, tolerance: 5071422566475.551 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4853065866773945.0, tolerance: 5266906585889.197 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5650034878977693.0, tolerance: 5983767162545.768 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5078172461886915.0, tolerance: 5811277577238.784 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4064405801132586.0, tolerance: 5973939931901.779 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6225330949263577.0, tolerance: 6141333618931.668 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5479595165163628.0, tolerance: 6107992567127.836 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5650014336821313.0, tolerance: 5983767162545.768 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.734e+15, tolerance: 5.947e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.255e+15, tolerance: 5.071e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5758967549754496.0, tolerance: 5946765980632.823 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.225e+15, tolerance: 6.141e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.480e+15, tolerance: 6.108e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4853154549413059.0, tolerance: 5266906585889.197 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3985776945974465.0, tolerance: 6053258223927.107 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6225289655318432.0, tolerance: 6141333618931.668 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5479620243472022.0, tolerance: 6107992567127.836 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.942e+15, tolerance: 6.053e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4853155568319694.0, tolerance: 5266906585889.197 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5022821130006960.0, tolerance: 5973939931901.779 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5633038580026429.0, tolerance: 5787110665343.972 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4941465594398395.0, tolerance: 6053258223927.107 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.023e+15, tolerance: 5.974e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.079e+15, tolerance: 5.811e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5479749288504861.0, tolerance: 6107992567127.836 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5064781586117150.0, tolerance: 5071422566475.551 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.330e+15, tolerance: 5.984e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5078614884412850.0, tolerance: 5811277577238.784 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.560e+15, tolerance: 5.787e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5649720542309291.0, tolerance: 5983767162545.768 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.076e+15, tolerance: 5.811e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.079e+15, tolerance: 5.811e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5022868131759927.0, tolerance: 5973939931901.779 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5759215456727929.0, tolerance: 5946765980632.823 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 6225161859058832.0, tolerance: 6141333618931.668 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.759e+15, tolerance: 5.947e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.942e+15, tolerance: 6.053e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4851872057073924.0, tolerance: 5266906585889.197 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4941601154434974.0, tolerance: 6053258223927.107 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.759e+15, tolerance: 5.947e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5633673407923781.0, tolerance: 5787110665343.972 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5479596807479355.0, tolerance: 6107992567127.836 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.759e+15, tolerance: 5.947e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.019e+15, tolerance: 5.071e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.938e+15, tolerance: 6.141e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5065076733438232.0, tolerance: 5071422566475.551 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5022196713540935.0, tolerance: 5973939931901.779 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4941101383012852.0, tolerance: 6053258223927.107 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.634e+15, tolerance: 5.787e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.079e+15, tolerance: 5.811e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5060119058673676.0, tolerance: 5811277577238.784 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.065e+15, tolerance: 5.071e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.600e+15, tolerance: 5.984e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.650e+15, tolerance: 5.984e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.633e+15, tolerance: 5.787e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5731927656491687.0, tolerance: 5946765980632.823 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.853e+15, tolerance: 5.267e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.225e+15, tolerance: 6.141e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.480e+15, tolerance: 6.108e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.759e+15, tolerance: 5.947e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.023e+15, tolerance: 5.974e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.200e+15, tolerance: 6.141e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.065e+15, tolerance: 5.071e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.942e+15, tolerance: 6.053e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.633e+15, tolerance: 5.787e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.828e+15, tolerance: 5.267e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.650e+15, tolerance: 5.984e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.065e+15, tolerance: 5.071e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.468e+15, tolerance: 6.108e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.225e+15, tolerance: 6.141e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.788e+15, tolerance: 5.974e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.852e+15, tolerance: 5.267e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.060e+15, tolerance: 6.053e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.479e+15, tolerance: 6.108e+12 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.525877544223833e+16, tolerance: 17100091573697.387 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.6766720418044902e+16, tolerance: 17544059822668.902 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.6028199390954406e+16, tolerance: 17128374995528.541 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.512049873177026e+16, tolerance: 15902847756329.012 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7007001062598736e+16, tolerance: 17004257311963.95 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.6562873177315318e+16, tolerance: 16937211209995.611 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.5686005854016382e+16, tolerance: 16571126405376.129 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.5208258383116008e+16, tolerance: 17100091573697.387 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.6015012624155898e+16, tolerance: 17518369990878.42 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.623343595272695e+16, tolerance: 18061423865605.965 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7008521569720684e+16, tolerance: 16567454141939.338 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.6542006457824988e+16, tolerance: 17544059822668.902 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.6954399243324682e+16, tolerance: 17004257311963.95 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.3658866995000836e+16, tolerance: 17128374995528.541 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.5571708883745566e+16, tolerance: 16571126405376.129 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.4780141923264454e+16, tolerance: 15902847756329.012 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.6422284329116838e+16, tolerance: 16937211209995.611 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.5973596493616762e+16, tolerance: 17518369990878.42 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.52588110867502e+16, tolerance: 17100091573697.387 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7007016258930786e+16, tolerance: 17004257311963.95 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.6766715363386772e+16, tolerance: 17544059822668.902 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.684152687825145e+16, tolerance: 16567454141939.338 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.6161761341494436e+16, tolerance: 18061423865605.965 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.5685994368736746e+16, tolerance: 16571126405376.129 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.6028199997203584e+16, tolerance: 17128374995528.541 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.6014987317755904e+16, tolerance: 17518369990878.42 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.5120501214405476e+16, tolerance: 15902847756329.012 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.6233430446904784e+16, tolerance: 18061423865605.965 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.6562900205705018e+16, tolerance: 16937211209995.611 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7008504900057026e+16, tolerance: 16567454141939.338 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.526e+16, tolerance: 1.710e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+16, tolerance: 1.700e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.677e+16, tolerance: 1.754e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.603e+16, tolerance: 1.713e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.512e+16, tolerance: 1.590e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.569e+16, tolerance: 1.657e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.623e+16, tolerance: 1.806e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.601e+16, tolerance: 1.752e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.656e+16, tolerance: 1.694e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+16, tolerance: 1.657e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.526e+16, tolerance: 1.710e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.569e+16, tolerance: 1.657e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+16, tolerance: 1.700e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.677e+16, tolerance: 1.754e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.601e+16, tolerance: 1.752e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.5258857782549568e+16, tolerance: 17100091573697.387 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.623e+16, tolerance: 1.806e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7007020048964238e+16, tolerance: 17004257311963.95 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.6766710479165506e+16, tolerance: 17544059822668.902 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.5685999213132566e+16, tolerance: 16571126405376.129 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.656e+16, tolerance: 1.694e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.602819841554355e+16, tolerance: 17128374995528.541 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.6015007607563508e+16, tolerance: 17518369990878.42 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.603e+16, tolerance: 1.713e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.512e+16, tolerance: 1.590e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+16, tolerance: 1.657e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.512049572134316e+16, tolerance: 15902847756329.012 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.6233466728374834e+16, tolerance: 18061423865605.965 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.6562908525863926e+16, tolerance: 16937211209995.611 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7008494295182704e+16, tolerance: 16567454141939.338 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.603e+16, tolerance: 1.713e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.526e+16, tolerance: 1.710e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.569e+16, tolerance: 1.657e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+16, tolerance: 1.700e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.601e+16, tolerance: 1.752e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.623e+16, tolerance: 1.806e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.677e+16, tolerance: 1.754e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.512e+16, tolerance: 1.590e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.701e+16, tolerance: 1.657e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.656e+16, tolerance: 1.694e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.734605089268989e+16, tolerance: 50062809555698.3 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.995415851971524e+16, tolerance: 51784086935009.445 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.0688797705583096e+16, tolerance: 51541465707810.06 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.8928039724536e+16, tolerance: 50662287504617.45 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.035714629621809e+16, tolerance: 51860795460741.02 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.87684698367608e+16, tolerance: 50062809555698.3 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.09087894470379e+16, tolerance: 51287600131866.96 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.043790877141035e+16, tolerance: 51514705413921.13 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.003730153737397e+16, tolerance: 50532046255407.81 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.971792255901689e+16, tolerance: 52309948315920.04 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.0553680357490776e+16, tolerance: 51784086935009.445 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 4.900637403996526e+16, tolerance: 50559620381261.23 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.141898297919936e+16, tolerance: 51287600131866.96 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.073950929395958e+16, tolerance: 51514705413921.13 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.1090878869698696e+16, tolerance: 51541465707810.06 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.002402095211461e+16, tolerance: 50662287504617.45 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.07468979125079e+16, tolerance: 51860795460741.02 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.035718391127804e+16, tolerance: 52309948315920.04 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.033761477967944e+16, tolerance: 50559620381261.23 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.037727605309952e+16, tolerance: 50532046255407.81 model = cd_fast.enet_coordinate_descent_gram( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.074e+16, tolerance: 5.151e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.002e+16, tolerance: 5.066e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.038e+16, tolerance: 5.053e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.075e+16, tolerance: 5.186e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.055e+16, tolerance: 5.178e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.142e+16, tolerance: 5.129e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.877e+16, tolerance: 5.006e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.034e+16, tolerance: 5.056e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.109e+16, tolerance: 5.154e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.036e+16, tolerance: 5.231e+13 model = cd_fast.enet_coordinate_descent( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:633: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.564755617291126e+16, tolerance: 57096180098111.12 model = cd_fast.enet_coordinate_descent_gram(
Model Name: Lasso
Best Score: 0.6034069700325795
Best Hyperparameters: {'model__alpha': 1, 'model__fit_intercept': False, 'model__precompute': True, 'model__selection': 'random'}
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py:770: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details:
Traceback (most recent call last):
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 761, in _score
scores = scorer(estimator, X_test, y_test)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 216, in __call__
return self._score(
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 258, in _score
y_pred = method_caller(estimator, "predict", X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_scorer.py", line 68, in _cached_call
return getattr(estimator, method)(*args, **kwargs)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/utils/metaestimators.py", line 113, in <lambda>
out = lambda *args, **kwargs: self.fn(obj, *args, **kwargs) # noqa
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/pipeline.py", line 470, in predict
return self.steps[-1][1].predict(Xt, **predict_params)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_regression.py", line 229, in predict
neigh_dist, neigh_ind = self.kneighbors(X)
File "/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/neighbors/_base.py", line 727, in kneighbors
raise ValueError(
ValueError: Expected n_neighbors <= n_samples, but n_samples = 18, n_neighbors = 20
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [-20110.23197908 -18705.30007392 -15991.93944865 -15630.55643716
-16105.62647617 -15993.03374422 -16142.43164301 -15917.63510663
-19899.75938483 -17883.40810916 -33887.0887123 -28223.47721652
-29881.53016515 -24772.16069243 -33275.41082627 -28324.88167916
-74535.32054426 -52030.50459555 -74564.51470015 -52949.07614228
nan nan nan nan
-23266.51625555 -20730.38030142 -23266.51625555 -20730.38030142
-40607.07317408 -35390.9840404 -40607.07317408 -35390.9840404
-34588.18771547 -31548.44720237 -34588.18771547 -31548.44720237
-46699.08943201 -38481.2206533 -46699.08943201 -38481.2206533
-72302.17251947 -57784.87903906 -72302.17251947 -57784.87903906
nan nan nan nan
-20110.23197908 -18705.30007392 -15991.93944865 -15630.55643716
-16105.62647617 -15993.03374422 -16142.43164301 -15917.63510663
-19899.75938483 -17883.40810916 -33887.0887123 -28223.47721652
-29881.53016515 -24772.16069243 -33275.41082627 -28324.88167916
-74535.32054426 -52030.50459555 -74564.51470015 -52949.07614228
nan nan nan nan
-23266.51625555 -20730.38030142 -23266.51625555 -20730.38030142
-40607.07317408 -35390.9840404 -40607.07317408 -35390.9840404
-34588.18771547 -31548.44720237 -34588.18771547 -31548.44720237
-46699.08943201 -38481.2206533 -46699.08943201 -38481.2206533
-72302.17251947 -57784.87903906 -72302.17251947 -57784.87903906
nan nan nan nan
-20110.23197908 -18705.30007392 -15991.93944865 -15630.55643716
-16105.62647617 -15993.03374422 -16142.43164301 -15917.63510663
-19899.75938483 -17883.40810916 -33887.0887123 -28223.47721652
-29881.53016515 -24772.16069243 -33275.41082627 -28324.88167916
-74535.32054426 -52030.50459555 -74564.51470015 -52949.07614228
nan nan nan nan
-23266.51625555 -20730.38030142 -23266.51625555 -20730.38030142
-40607.07317408 -35390.9840404 -40607.07317408 -35390.9840404
-34588.18771547 -31548.44720237 -34588.18771547 -31548.44720237
-46699.08943201 -38481.2206533 -46699.08943201 -38481.2206533
-72302.17251947 -57784.87903906 -72302.17251947 -57784.87903906
nan nan nan nan
-20110.23197908 -18705.30007392 -15991.93944865 -15630.55643716
-16105.62647617 -15993.03374422 -16142.43164301 -15917.63510663
-19899.75938483 -17883.40810916 -33887.0887123 -28223.47721652
-29881.53016515 -24772.16069243 -33275.41082627 -28324.88167916
-74535.32054426 -52030.50459555 -74564.51470015 -52949.07614228
nan nan nan nan
-23266.51625555 -20730.38030142 -23266.51625555 -20730.38030142
-40607.07317408 -35390.9840404 -40607.07317408 -35390.9840404
-34588.18771547 -31548.44720237 -34588.18771547 -31548.44720237
-46699.08943201 -38481.2206533 -46699.08943201 -38481.2206533
-72302.17251947 -57784.87903906 -72302.17251947 -57784.87903906
nan nan nan nan
-20110.23197908 -18705.30007392 -15991.93944865 -15630.55643716
-16105.62647617 -15993.03374422 -16142.43164301 -15917.63510663
-19899.75938483 -17883.40810916 -33887.0887123 -28223.47721652
-29881.53016515 -24772.16069243 -33275.41082627 -28324.88167916
-74535.32054426 -52030.50459555 -74564.51470015 -52949.07614228
nan nan nan nan
-23266.51625555 -20730.38030142 -23266.51625555 -20730.38030142
-40607.07317408 -35390.9840404 -40607.07317408 -35390.9840404
-34588.18771547 -31548.44720237 -34588.18771547 -31548.44720237
-46699.08943201 -38481.2206533 -46699.08943201 -38481.2206533
-72302.17251947 -57784.87903906 -72302.17251947 -57784.87903906
nan nan nan nan
-20110.23197908 -18705.30007392 -15991.93944865 -15630.55643716
-16105.62647617 -15993.03374422 -16142.43164301 -15917.63510663
-19899.75938483 -17883.40810916 -33887.0887123 -28223.47721652
-29881.53016515 -24772.16069243 -33275.41082627 -28324.88167916
-74535.32054426 -52030.50459555 -74564.51470015 -52949.07614228
nan nan nan nan
-23266.51625555 -20730.38030142 -23266.51625555 -20730.38030142
-40607.07317408 -35390.9840404 -40607.07317408 -35390.9840404
-34588.18771547 -31548.44720237 -34588.18771547 -31548.44720237
-46699.08943201 -38481.2206533 -46699.08943201 -38481.2206533
-72302.17251947 -57784.87903906 -72302.17251947 -57784.87903906
nan nan nan nan
-20110.23197908 -18705.30007392 -15991.93944865 -15630.55643716
-16105.62647617 -15993.03374422 -16142.43164301 -15917.63510663
-19899.75938483 -17883.40810916 -33887.0887123 -28223.47721652
-29881.53016515 -24772.16069243 -33275.41082627 -28324.88167916
-74535.32054426 -52030.50459555 -74564.51470015 -52949.07614228
nan nan nan nan
-23266.51625555 -20730.38030142 -23266.51625555 -20730.38030142
-40607.07317408 -35390.9840404 -40607.07317408 -35390.9840404
-34588.18771547 -31548.44720237 -34588.18771547 -31548.44720237
-46699.08943201 -38481.2206533 -46699.08943201 -38481.2206533
-72302.17251947 -57784.87903906 -72302.17251947 -57784.87903906
nan nan nan nan
-20110.23197908 -18705.30007392 -15991.93944865 -15630.55643716
-16105.62647617 -15993.03374422 -16142.43164301 -15917.63510663
-19899.75938483 -17883.40810916 -33887.0887123 -28223.47721652
-29881.53016515 -24772.16069243 -33275.41082627 -28324.88167916
-74535.32054426 -52030.50459555 -74564.51470015 -52949.07614228
nan nan nan nan
-23266.51625555 -20730.38030142 -23266.51625555 -20730.38030142
-40607.07317408 -35390.9840404 -40607.07317408 -35390.9840404
-34588.18771547 -31548.44720237 -34588.18771547 -31548.44720237
-46699.08943201 -38481.2206533 -46699.08943201 -38481.2206533
-72302.17251947 -57784.87903906 -72302.17251947 -57784.87903906
nan nan nan nan
-20110.23197908 -18705.30007392 -15991.93944865 -15630.55643716
-16105.62647617 -15993.03374422 -16142.43164301 -15917.63510663
-19899.75938483 -17883.40810916 -33887.0887123 -28223.47721652
-29881.53016515 -24772.16069243 -33275.41082627 -28324.88167916
-74535.32054426 -52030.50459555 -74564.51470015 -52949.07614228
nan nan nan nan
-23266.51625555 -20730.38030142 -23266.51625555 -20730.38030142
-40607.07317408 -35390.9840404 -40607.07317408 -35390.9840404
-34588.18771547 -31548.44720237 -34588.18771547 -31548.44720237
-46699.08943201 -38481.2206533 -46699.08943201 -38481.2206533
-72302.17251947 -57784.87903906 -72302.17251947 -57784.87903906
nan nan nan nan
-20110.23197908 -18705.30007392 -15991.93944865 -15630.55643716
-16105.62647617 -15993.03374422 -16142.43164301 -15917.63510663
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nan nan nan nan
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nan nan nan nan]
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the train scores are non-finite: [0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
0.5300257 1. 0.5300257 1. 0.44501782 1.
0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
0.5300257 1. 0.5300257 1. 0.44501782 1.
0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
0.5300257 1. 0.5300257 1. 0.44501782 1.
0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
0.5300257 1. 0.5300257 1. 0.44501782 1.
0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
0.5300257 1. 0.5300257 1. 0.44501782 1.
0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
0.5300257 1. 0.5300257 1. 0.44501782 1.
0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
0.5300257 1. 0.5300257 1. 0.44501782 1.
0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
0.5300257 1. 0.5300257 1. 0.44501782 1.
0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
0.5300257 1. 0.5300257 1. 0.44501782 1.
0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
0.5300257 1. 0.5300257 1. 0.44501782 1.
0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan]
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [-2.01102320e+04 -1.87053001e+04 -1.59919394e+04 -1.56305564e+04
-1.61056265e+04 -1.59930337e+04 -1.61424316e+04 -1.59176351e+04
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-7.45353205e+04 -5.20305046e+04 -7.45645147e+04 -5.29490761e+04
nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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1.75364898e-02 -2.04441336e-01 -1.91841909e-01 -2.04441336e-01
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warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the train scores are non-finite: [0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
0.5300257 1. 0.5300257 1. 0.44501782 1.
0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
0.5300257 1. 0.5300257 1. 0.44501782 1.
0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.14373111 1. nan nan nan nan
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0.14373111 1. nan nan nan nan
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0.34386394 1. 0.35331885 1. 0.18650173 1.
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0.14373111 1. nan nan nan nan
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0.19651712 1. nan nan nan nan
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0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
1. 1. 1. 1. 1. 1.
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warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [-2.01102320e+04 -1.87053001e+04 -1.59919394e+04 -1.56305564e+04
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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4.74887999e-01 4.74887999e-01 4.74887999e-01 4.74887999e-01
4.74887999e-01 4.74887999e-01 4.74887999e-01 4.74887999e-01
4.74887999e-01 4.74887999e-01]
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the train scores are non-finite: [0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
0.5300257 1. 0.5300257 1. 0.44501782 1.
0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
0.5300257 1. 0.5300257 1. 0.44501782 1.
0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
0.5300257 1. 0.5300257 1. 0.44501782 1.
0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
1. 1. 1. 1. 1. 1.
1. 1. 1. 1. 1. 1.
1. 1. 1. 1. 1. 1.
1. 1. 0.61913805 0.61913805 0.61913805 0.61913805
0.61913805 0.61913805 0.61913805 0.61913805 0.61913805 0.61913805
0.60698486 0.60698486 0.60698486 0.60698486 0.60698486 0.60698486
0.60698486 0.60698486 0.60698486 0.60698486 1. 1.
1. 1. 1. 1. 1. 1.
1. 1. 0.64614238 0.64614238 0.64614238 0.64614238
0.64614238 0.64614238 0.64614238 0.64614238 0.64614238 0.64614238
1. 1. 1. 1. 1. 1.
1. 1. 1. 1. 1. 1.
1. 1. 1. 1. 1. 1.
1. 1. 0.34994898 0.34994898 0.34994898 1.
0.40726581 1. 0.41380261 1. 1. 1.
1. 0.41380261 0.34994898 1. 0.34994898 1.
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0.34994898 0.40726581 1. 0.41380261 1. 0.34994898
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0.34994898 1. 0.41380261 1. 0.40726581 1.
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1. 0.34994898 1. 0.34994898 0.34994898 0.40726581
1. 1. 1. 0.34994898 1. 0.34994898
1. 0.40726581 0.41380261 1. 1. 1.
1. 1. 0.50993509 0.50993509 0.50993509 0.50993509
0.50993509 0.50993509 0.50993509 0.50993509 0.50993509 0.50993509
1. 1. 1. 1. 1. 1.
1. 1. 1. 1. 0.6230037 0.6230037
0.6230037 0.6230037 0.6230037 0.6230037 0.6230037 0.6230037
0.6230037 0.6230037 1. 1. 1. 1.
1. 1. 1. 1. 1. 1.
0.51127396 0.51127396 0.51127396 0.51127396 0.51127396 0.51127396
0.51127396 0.51127396 0.51127396 0.51127396]
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [-2.01102320e+04 -1.87053001e+04 -1.59919394e+04 -1.56305564e+04
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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5.13345725e-01 5.13345725e-01 5.13345725e-01 5.13345725e-01]
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the train scores are non-finite: [0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
0.5300257 1. 0.5300257 1. 0.44501782 1.
0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
1. 1. 1. 1. 1. 1.
1. 1. 1. 1. 1. 1.
1. 1. 1. 1. 1. 1.
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0.61913805 0.61913805 0.61913805 0.61913805 0.61913805 0.61913805
0.60698486 0.60698486 0.60698486 0.60698486 0.60698486 0.60698486
0.60698486 0.60698486 0.60698486 0.60698486 1. 1.
1. 1. 1. 1. 1. 1.
1. 1. 0.64614238 0.64614238 0.64614238 0.64614238
0.64614238 0.64614238 0.64614238 0.64614238 0.64614238 0.64614238
1. 1. 1. 1. 1. 1.
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1. 1. 1. 1. 1. 1.
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0.40726581 1. 0.41380261 1. 1. 1.
1. 0.41380261 0.34994898 1. 0.34994898 1.
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1. 0.40726581 0.41380261 1. 1. 1.
1. 1. 0.50993509 0.50993509 0.50993509 0.50993509
0.50993509 0.50993509 0.50993509 0.50993509 0.50993509 0.50993509
1. 1. 1. 1. 1. 1.
1. 1. 1. 1. 0.6230037 0.6230037
0.6230037 0.6230037 0.6230037 0.6230037 0.6230037 0.6230037
0.6230037 0.6230037 1. 1. 1. 1.
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0.51127396 0.51127396 0.51127396 0.51127396 0.51127396 0.51127396
0.51127396 0.51127396 0.51127396 0.51127396 1. 1.
1. 1. 0.67177639 0.67177639 0.67177639 0.67177639
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1. 1. 1. 1. ]
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [-2.01102320e+04 -1.87053001e+04 -1.59919394e+04 -1.56305564e+04
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the train scores are non-finite: [0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.14373111 1. nan nan nan nan
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1. 1. 1. 1. 1. 1.
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warnings.warn(
Model Name: KNN
Best Score: 0.6363059078726541
Best Hyperparameters: {'model__leaf_size': 36, 'model__metric': 'minkowski', 'model__n_neighbors': 20, 'model__p': 1, 'model__weights': 'distance'}
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [-2.01102320e+04 -1.87053001e+04 -1.59919394e+04 -1.56305564e+04
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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nan nan nan nan
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warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the train scores are non-finite: [0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
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0.14373111 1. nan nan nan nan
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0.19651712 1. nan nan nan nan
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0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
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0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
0.54167156 1. 0.55039212 1. 0.45120582 1.
0.46291892 1. 0.38855498 1. 0.39034197 1.
0.34386394 1. 0.35331885 1. 0.18650173 1.
0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
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0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
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0.14373111 1. nan nan nan nan
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0.46291892 1. 0.38855498 1. 0.39034197 1.
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0.19651712 1. nan nan nan nan
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0.44501782 1. 0.37177173 1. 0.37177173 1.
0.32756557 1. 0.32756557 1. 0.14373111 1.
0.14373111 1. nan nan nan nan
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0.14373111 1. nan nan nan nan
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0.61913805 0.61913805 0.61913805 0.61913805 0.61913805 0.61913805
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0.60698486 0.60698486 0.60698486 0.60698486 1. 1.
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1. 0.40726581 0.41380261 1. 1. 1.
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0.50993509 0.50993509 0.50993509 0.50993509 0.50993509 0.50993509
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0.6230037 0.6230037 1. 1. 1. 1.
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0.51127396 0.51127396 0.51127396 0.51127396 1. 1.
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warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/joblib/externals/loky/process_executor.py:702: UserWarning: A worker stopped while some jobs were given to the executor. This can be caused by a too short worker timeout or by a memory leak.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
warnings.warn(msg, UndefinedMetricWarning)
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [nan nan nan ... nan nan nan]
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [ nan nan nan ... -1.35125044 0.35400868
-1.3578436 ]
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [ nan nan nan ... 0.57160547 0.58275193 0.5776459 ]
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [ nan nan nan ... 0.52866306 0.52978506 0.52866048]
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [ nan nan nan ... 0.63161116 0.63161393 0.63163809]
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/linear_model/_stochastic_gradient.py:1503: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
warnings.warn(
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [ nan nan nan ... 0.6056874 0.60577293 0.60567634]
warnings.warn(
Model Name: SGD
Best Score: 0.6057729305869595
Best Hyperparameters: {'model__alpha': 0.0001, 'model__average': True, 'model__fit_intercept': True, 'model__learning_rate': 'adaptive', 'model__loss': 'squared_error', 'model__max_iter': 1000, 'model__penalty': 'l2', 'model__shuffle': True}
Model Name: RF
Best Score: 0.6627302562651282
Best Hyperparameters: {'model__bootstrap': False, 'model__max_depth': None, 'model__max_features': 'sqrt', 'model__min_samples_leaf': 4, 'model__min_samples_split': 2, 'model__n_estimators': 400}
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/joblib/externals/loky/process_executor.py:702: UserWarning: A worker stopped while some jobs were given to the executor. This can be caused by a too short worker timeout or by a memory leak. warnings.warn(
Model Name: AB
Best Score: 0.6644693078125189
Best Hyperparameters: {'model__base_estimator': DecisionTreeRegressor(max_depth=10), 'model__learning_rate': 0.3, 'model__loss': 'linear', 'model__n_estimators': 600}
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan] warnings.warn( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [ nan nan nan ... 0.19695873 -1.2320008 -0.65131612] warnings.warn( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [ nan nan nan ... 0.41844234 0.41149078 0.40441473] warnings.warn( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [ nan nan nan ... 0.58539768 0.59554966 0.59456592] warnings.warn( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [ nan nan nan ... 0.60047323 0.58993602 0.59874041] warnings.warn( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [ nan nan nan ... 0.6327025 0.63355569 0.63363808] warnings.warn(
Model Name: GB
Best Score: 0.6336380803675312
Best Hyperparameters: {'model__learning_rate': 0.01, 'model__loss': 'absolute_error', 'model__max_features': 'log2', 'model__min_samples_leaf': 5, 'model__min_samples_split': 20, 'model__n_estimators': 1000}
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/metrics/_regression.py:796: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan 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scores are non-finite: [ nan nan nan ... 0.5258567 0.5127065 0.52256071] warnings.warn( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [ nan nan nan ... 0.62971762 0.63569338 0.63022203] warnings.warn( /Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/sklearn/model_selection/_search.py:969: UserWarning: One or more of the test scores are non-finite: [ nan nan nan ... 0.62843022 0.63242587 0.63247107] warnings.warn(
Model Name: HGB
Best Score: 0.632471069456648
Best Hyperparameters: {'model__l2_regularization': 0.001, 'model__learning_rate': 0.01, 'model__loss': 'absolute_error', 'model__max_iter': 1000, 'model__min_samples_leaf': 5}
Save in for later use (since running the training takes a long time).
best_params = {}
for name, result in results.items():
if name == 'AB': # DecisionTreeRegressor not json serializable
result.param_grid['model__base_estimator'] = [
f'DecisionTree(max_depth={tree.max_depth})' for tree in result.param_grid['model__base_estimator']]
result.best_params_['model__base_estimator'] = f'DecisionTree(max_depth={result.best_params_["model__base_estimator"].max_depth})'
best_params[name] = {
"param_grid": result.param_grid,
"best_params": result.best_params_,
"best_score": result.best_score_,
"scoring": result.scoring
}
with open("../models/final/model_training_final_best_params.json", "w") as outfile:
json.dump(best_params, outfile)
Save the CV results as CSV files for each model, in case we want to refer to it later on.
cv_results = {}
for name, result in results.items():
cv_results[name] = pd.DataFrame(result.cv_results_)
cv_results[name].to_csv(f'../models/final/training/{name.lower()}.csv', index=False)
The interesting thing about using HalvingGridSearchCV is that it trains model parameters based on subsets of the training data — as the training progresses, the "bad" model parameters are pruned out, and the dataset continues to increase in size. It is therefore possible to draw learning curves for each of the models to see their average performance as the size of the training dataset increases.
import matplotlib.pyplot as plt
import numpy as np
fig, axs = plt.subplots(3, 3, figsize=(15, 12))
plt.setp(axs, ylim=(0,1))
for i, (name, result) in enumerate(cv_results.items()):
row, col = i // 3, i % 3
grouped_by_iter_df = result.groupby('iter').mean()
iterations = grouped_by_iter_df.index
test_scores = grouped_by_iter_df['mean_test_score']
axs[row][col].set_title(name, fontsize=20)
if col == 0:
axs[row][col].set_ylabel('R^2 value', fontsize=16)
axs[row][col].plot(iterations, test_scores, lw=2, marker='o')
fig.suptitle('Validation curves', fontsize=30)
fig.subplots_adjust(bottom=0, top=0.9)
plt.show()
fig.savefig('../figures/final_validation_curves.png', bbox_inches='tight')
We evaluate the best-performing version of each of the 9 models on the test set and save the results.
test_results = {}
for name, result in results.items():
y_pred = result.best_estimator_.predict(X_test)
test_results[name] = {
'mae': mean_absolute_error(y_test, y_pred),
'mse': mean_squared_error(y_test, y_pred),
'rmse': mean_squared_error(y_test, y_pred, squared=False),
'r2': r2_score(y_test, y_pred)
}
with open("../models/final/model_testing_final_results.json", "w") as outfile:
json.dump(test_results, outfile)
test_results
{'Linear': {'mae': 3152547.308215952,
'mse': 19577197504408.324,
'rmse': 4424612.695412823,
'r2': 0.6046788858685224},
'Ridge': {'mae': 3207019.148762949,
'mse': 20027048786802.902,
'rmse': 4475159.079496829,
'r2': 0.595595067303089},
'Lasso': {'mae': 3206858.100210295,
'mse': 20026687676918.297,
'rmse': 4475118.733276056,
'r2': 0.5956023591722073},
'KNN': {'mae': 2801067.286777702,
'mse': 16583554162929.652,
'rmse': 4072291.0213944255,
'r2': 0.6651293370017421},
'SGD': {'mae': 3161292.6216536006,
'mse': 19644488639075.082,
'rmse': 4432210.355914426,
'r2': 0.6033200802314211},
'RF': {'mae': 2715599.577433629,
'mse': 15747625450018.137,
'rmse': 3968327.7901426107,
'r2': 0.6820091927649717},
'AB': {'mae': 2817020.8491357514,
'mse': 15776310592817.385,
'rmse': 3971940.4065037766,
'r2': 0.6814299554860984},
'GB': {'mae': 2760250.2198700113,
'mse': 17442871281996.78,
'rmse': 4176466.363086955,
'r2': 0.6477772006285265},
'HGB': {'mae': 2677487.227089132,
'mse': 16399631338025.266,
'rmse': 4049645.8287145635,
'r2': 0.6688432790018184}}
Based on the R^2 values, AdaBoostRegressor and RandomForestRegressor seem to perform the best.
The best model that we currently have is the AdaBoostRegressor. While that model is currently performing okay, we want to try reducing the number of dimensions to remove correlated variables and see if we get better performance. The hyperparameters used for this analysis are the same as the optimal hyperparameters found via HalvingGridSearchCV.
from sklearn.decomposition import PCA
from sklearn.model_selection import GridSearchCV
pipeline = Pipeline([
('scaling', preprocessor),
('pca', PCA()),
('model', AdaBoostRegressor(base_estimator=DecisionTreeRegressor(max_depth=10), learning_rate=0.3, loss='linear', n_estimators=600))
])
param_grid = {
"pca__n_components": range(2, 33)
}
search = GridSearchCV(pipeline, param_grid, scoring='r2', n_jobs=-1, cv=10)
pca_results = search.fit(X_train, y_train)
import matplotlib.pyplot as plt
pca_cv_results = pd.DataFrame(pca_results.cv_results_)
pca_cv_results.plot(x='param_pca__n_components', y='mean_test_score', figsize=(10, 6))
plt.xticks(range(2, 33, 2))
plt.xlabel('PCA Dimensions')
plt.ylabel('Mean Test Score (R^2)')
plt.grid()
plt.savefig('../figures/adaboost_pca_curve.png', bbox_inches='tight')
plt.show()
/Users/achung/.pyenv/versions/3.10.0/lib/python3.10/site-packages/pandas/core/indexes/base.py:6982: FutureWarning: In a future version, the Index constructor will not infer numeric dtypes when passed object-dtype sequences (matching Series behavior) return Index(sequences[0], name=names)
There is not a clear "plateau" in the graph, as the test score continues to increase. It seems that the usage of PCA does not have a noticeable positive effect on the test score, so we will proceed with simply the original dataset.
To train the final model, we do hyperparameter tuning on AdaBoostRegressor. Additionally, we tune the parameters of the base estimator (DecisionTreeRegressor) using the syntax for nested parameter tuning in GridSearchCV. We use GridSearchCV instead of HalvingGridSearchCV because we are only testing one model, and we want to get the best combination of parameters possible.
import sys
import os
import warnings
if not sys.warnoptions:
warnings.simplefilter("ignore")
os.environ["PYTHONWARNINGS"] = "ignore" # Also affect subprocesses
from sklearn.model_selection import GridSearchCV
param_grid = {
'model__base_estimator__min_samples_split': [2, 5, 10],
'model__base_estimator__max_features': ['sqrt', 'log2'],
'model__learning_rate': [0.001, 0.01, 0.1, 0.3, 0.5, 0.8, 1, 1.5],
'model__n_estimators': [400, 600, 800, 1000, 1250, 1500]
}
model = AdaBoostRegressor(base_estimator=DecisionTreeRegressor())
pipeline = Pipeline([
('scaling', preprocessor),
('model', model)
])
search = GridSearchCV(pipeline, param_grid, scoring='r2', n_jobs=-1, cv=10)
final_result = search.fit(X_train, y_train)
print('Best Score: %s' % final_result.best_score_)
print('Best Hyperparameters: %s' % new_result.best_params_)
Best Score: 0.6793679170529651
Best Hyperparameters: {'model__base_estimator__max_features': 'log2', 'model__base_estimator__min_samples_split': 2, 'model__learning_rate': 1.5, 'model__n_estimators': 1000}
Using scikit-plot, we can plot the learning curve of the AdaBoostRegressor based on different-sized datasets, and see which features the model considers to be the most important.
import scikitplot as skplt
skplt.estimators.plot_learning_curve(final_result.best_estimator_, X_train, y_train,
cv=10, scoring="r2", n_jobs=-1, figsize=(12,8),
title_fontsize="large", text_fontsize="large",
title="Final AdaBoostRegressor Model Learning Curve")
plt.ylim((0, 1.2))
plt.savefig('../figures/final_model_learning_curve')
plt.show()
According to the graph below, it looks like total rebounds have the highest importance, followed by the team, the particular season, total steals, inflation-adjusted team payroll, field goal attempts, and so on.
skplt.estimators.plot_feature_importances(final_result.best_estimator_['model'], feature_names=X_train.columns,
title="Final AdaBoostRegressor Model Feature Importance",
x_tick_rotation=90, figsize=(12,8))
plt.savefig('../figures/final_model_feature_importances', bbox_inches='tight')
plt.show()
We evaluate the performance of our final model on the 20% test set:
y_pred = new_result.best_estimator_.predict(X_test)
final_test_result = {
'mae': mean_absolute_error(y_test, y_pred),
'mse': mean_squared_error(y_test, y_pred),
'rmse': mean_squared_error(y_test, y_pred, squared=False),
'r2': r2_score(y_test, y_pred)
}
with open("../models/best_model_test_results.json", "w") as outfile:
json.dump(final_test_result, outfile)
final_test_result
{'mae': 2573489.0517503805,
'mse': 15123073939491.672,
'rmse': 3888839.6649247026,
'r2': 0.6946207220156841}
best_final_params = {}
best_final_params = {
"param_grid": final_result.param_grid,
"best_params": final_result.best_params_,
"best_score": final_result.best_score_,
"scoring": final_result.scoring
}
with open("../models/best_model_best_params.json", "w") as outfile:
json.dump(best_final_params, outfile)
import joblib
joblib.dump(final_result.best_estimator_, f'../models/final/adaboost.joblib')
['../models/final/adaboost.joblib']